Estimation of sediments produced in a subbasin using the Normalized Difference Vegetation Index
Autor(a) principal: | |
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Data de Publicação: | 2020 |
Outros Autores: | , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Ciência e Agrotecnologia (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542020000100214 |
Resumo: | ABSTRACT Among the parameters considered by the Revised Universal Soil Loss Equation (RUSLE), the soil cover and management factor (C) is the main human influenced factor affecting the estimation of water erosion, and one of the most sensitive to spatiotemporal variations. Consequently, this study aims to compare the efficiency of C factor estimates obtained from the literature for each land-use class (Clit) and by calculation based on the Normalized Difference Vegetation Index (CNDVI). We test the hypothesis that soil loss estimates based on CNDVI approach are more accurate than those based on Clit. Water erosion was estimated based on soil morphological, physical, and chemical properties in addition to climate, relief, management practices, and land use and cover. The modeling steps were realized with the help of the Geographic Information System. The results were validated using the data of total sediment transported with water discharge and daily runoff. RUSLE underestimated soil losses by 0.64 Mg ha-1 year-1 using Clit and 0.45 Mg ha-1 year-1 with CNDVI, which corresponds to errors of 21.05% and 14.80%, respectively. Therefore, the CNDVI factor results are more accurate. Both methodologies identified areas with high erosion rates where the adoption of mitigation measures should be prioritized. |
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Ciência e Agrotecnologia (Online) |
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Estimation of sediments produced in a subbasin using the Normalized Difference Vegetation IndexSoil conservationwater erosionmodelingRUSLEABSTRACT Among the parameters considered by the Revised Universal Soil Loss Equation (RUSLE), the soil cover and management factor (C) is the main human influenced factor affecting the estimation of water erosion, and one of the most sensitive to spatiotemporal variations. Consequently, this study aims to compare the efficiency of C factor estimates obtained from the literature for each land-use class (Clit) and by calculation based on the Normalized Difference Vegetation Index (CNDVI). We test the hypothesis that soil loss estimates based on CNDVI approach are more accurate than those based on Clit. Water erosion was estimated based on soil morphological, physical, and chemical properties in addition to climate, relief, management practices, and land use and cover. The modeling steps were realized with the help of the Geographic Information System. The results were validated using the data of total sediment transported with water discharge and daily runoff. RUSLE underestimated soil losses by 0.64 Mg ha-1 year-1 using Clit and 0.45 Mg ha-1 year-1 with CNDVI, which corresponds to errors of 21.05% and 14.80%, respectively. Therefore, the CNDVI factor results are more accurate. Both methodologies identified areas with high erosion rates where the adoption of mitigation measures should be prioritized.Editora da UFLA2020-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542020000100214Ciência e Agrotecnologia v.44 2020reponame:Ciência e Agrotecnologia (Online)instname:Universidade Federal de Lavras (UFLA)instacron:UFLA10.1590/1413-7054202044031419info:eu-repo/semantics/openAccessLense,Guilherme Henrique ExpeditoMoreira,Rodrigo SantosBócoli,Fernanda AlmeidaAvanzi,Junior CesarTeodoro,Alexandre Elias de MirandaMincato,Ronaldo Luizeng2020-06-04T00:00:00Zoai:scielo:S1413-70542020000100214Revistahttp://www.scielo.br/cagroPUBhttps://old.scielo.br/oai/scielo-oai.php||renpaiva@dbi.ufla.br|| editora@editora.ufla.br1981-18291413-7054opendoar:2022-11-22T16:31:41.409003Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA)true |
dc.title.none.fl_str_mv |
Estimation of sediments produced in a subbasin using the Normalized Difference Vegetation Index |
title |
Estimation of sediments produced in a subbasin using the Normalized Difference Vegetation Index |
spellingShingle |
Estimation of sediments produced in a subbasin using the Normalized Difference Vegetation Index Lense,Guilherme Henrique Expedito Soil conservation water erosion modeling RUSLE |
title_short |
Estimation of sediments produced in a subbasin using the Normalized Difference Vegetation Index |
title_full |
Estimation of sediments produced in a subbasin using the Normalized Difference Vegetation Index |
title_fullStr |
Estimation of sediments produced in a subbasin using the Normalized Difference Vegetation Index |
title_full_unstemmed |
Estimation of sediments produced in a subbasin using the Normalized Difference Vegetation Index |
title_sort |
Estimation of sediments produced in a subbasin using the Normalized Difference Vegetation Index |
author |
Lense,Guilherme Henrique Expedito |
author_facet |
Lense,Guilherme Henrique Expedito Moreira,Rodrigo Santos Bócoli,Fernanda Almeida Avanzi,Junior Cesar Teodoro,Alexandre Elias de Miranda Mincato,Ronaldo Luiz |
author_role |
author |
author2 |
Moreira,Rodrigo Santos Bócoli,Fernanda Almeida Avanzi,Junior Cesar Teodoro,Alexandre Elias de Miranda Mincato,Ronaldo Luiz |
author2_role |
author author author author author |
dc.contributor.author.fl_str_mv |
Lense,Guilherme Henrique Expedito Moreira,Rodrigo Santos Bócoli,Fernanda Almeida Avanzi,Junior Cesar Teodoro,Alexandre Elias de Miranda Mincato,Ronaldo Luiz |
dc.subject.por.fl_str_mv |
Soil conservation water erosion modeling RUSLE |
topic |
Soil conservation water erosion modeling RUSLE |
description |
ABSTRACT Among the parameters considered by the Revised Universal Soil Loss Equation (RUSLE), the soil cover and management factor (C) is the main human influenced factor affecting the estimation of water erosion, and one of the most sensitive to spatiotemporal variations. Consequently, this study aims to compare the efficiency of C factor estimates obtained from the literature for each land-use class (Clit) and by calculation based on the Normalized Difference Vegetation Index (CNDVI). We test the hypothesis that soil loss estimates based on CNDVI approach are more accurate than those based on Clit. Water erosion was estimated based on soil morphological, physical, and chemical properties in addition to climate, relief, management practices, and land use and cover. The modeling steps were realized with the help of the Geographic Information System. The results were validated using the data of total sediment transported with water discharge and daily runoff. RUSLE underestimated soil losses by 0.64 Mg ha-1 year-1 using Clit and 0.45 Mg ha-1 year-1 with CNDVI, which corresponds to errors of 21.05% and 14.80%, respectively. Therefore, the CNDVI factor results are more accurate. Both methodologies identified areas with high erosion rates where the adoption of mitigation measures should be prioritized. |
publishDate |
2020 |
dc.date.none.fl_str_mv |
2020-01-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542020000100214 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1413-70542020000100214 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/1413-7054202044031419 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Editora da UFLA |
publisher.none.fl_str_mv |
Editora da UFLA |
dc.source.none.fl_str_mv |
Ciência e Agrotecnologia v.44 2020 reponame:Ciência e Agrotecnologia (Online) instname:Universidade Federal de Lavras (UFLA) instacron:UFLA |
instname_str |
Universidade Federal de Lavras (UFLA) |
instacron_str |
UFLA |
institution |
UFLA |
reponame_str |
Ciência e Agrotecnologia (Online) |
collection |
Ciência e Agrotecnologia (Online) |
repository.name.fl_str_mv |
Ciência e Agrotecnologia (Online) - Universidade Federal de Lavras (UFLA) |
repository.mail.fl_str_mv |
||renpaiva@dbi.ufla.br|| editora@editora.ufla.br |
_version_ |
1799874971204321280 |